David Davidson
Impact in
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- Hemoglobinopathies and Related Disorders
- Virus-based gene therapy research
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- Iron Metabolism and Disorders
Papers in
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- Lipid metabolism and disorders 3
- Genetics 3
- Diabetes and associated disorders 2
- Hemoglobinopathies and Related Disorders 1
- Co-authors
- Philippe Leboulch (1 shared paper)Matthew M. Hsieh (1 shared paper)Melissa Bonner (1 shared paper)Ruiting Guo (1 shared paper)Manfred Schmidt (1 shared paper)Alexis A. Thompson (1 shared paper)Jean‐Antoine Ribeil (1 shared paper)Mohammed Asmal (1 shared paper)
- Journals
- Journal of clinical lipidology (1 paper)British Journal of Clinical Pharmacology (1 paper)American Journal of Hematology (1 paper)Expert Opinion on Orphan Drugs (1 paper)Journal of Translational Internal Medicine (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
David Davidson
8 papers receiving 117 citations
Peers
Comparison fields: 5 of 27
- Genetics 52
- Hematology 19
- Genetics 22
- Pediatrics, Perinatology and Child Health 13
- Endocrinology, Diabetes and Metabolism 11
Countries citing papers authored by David Davidson
This map shows the geographic impact of David Davidson's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Davidson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Davidson more than expected).
Fields of papers citing papers by David Davidson
This network shows the impact of papers produced by David Davidson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Davidson. The network helps show where David Davidson may publish in the future.
Co-authors
The 25 scholars most cited alongside David Davidson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 72 | |
| 2 | 2020 | 18 | |
| 3 | Colesevelam HCl Decreases Atherosclerosis and May Activate Reverse Cholesterol Transport in Cholesterol-Fed Rabbits | 2006 | 8 |
| 4 | 2021 | 6 | |
| 5 | 1995 | 6 | |
| 6 | 2018 | 4 | |
| 7 | 2022 | 3 | |
| 8 | 2018 | 2 |
About David Davidson
David Davidson is a scholar working on Cardiology and Cardiovascular Medicine, Genetics, Surgery, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 8 papers that have together received 119 indexed citations. Recurring topics across this work include Lipid metabolism and disorders (3 papers), Diabetes Management and Research (2 papers), Diabetes and associated disorders (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Pharmaceutical Practices and Patient Outcomes (1 paper), Hemoglobinopathies and Related Disorders (1 paper), Liver Disease Diagnosis and Treatment (1 paper) and Drug Transport and Resistance Mechanisms (1 paper). The work is most often cited by research in Genetics (52 citations), Hematology (19 citations), Genetics (22 citations), Pediatrics, Perinatology and Child Health (13 citations) and Endocrinology, Diabetes and Metabolism (11 citations). David Davidson has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Philippe Leboulch, Matthew M. Hsieh, Melissa Bonner, Ruiting Guo, Manfred Schmidt, Alexis A. Thompson, Jean‐Antoine Ribeil, Mohammed Asmal, Mark C. Walters and Julie Kanter. Their work appears in journals such as Journal of clinical lipidology, British Journal of Clinical Pharmacology, American Journal of Hematology, Expert Opinion on Orphan Drugs and Journal of Translational Internal Medicine.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.